NVIDIA/cudaqx
May 2026 – Jun 2026
2 Months active
Languages Used
BashC++CMakePythonShellYAMLbashjson
Technical Skills
Build AutomationC++ developmentCI/CDCMake scriptingContinuous IntegrationContinuous integration
Angela Burton
PROFILE
Angela Burton
Worked on the NVIDIA/cudaqx repository to modernize and stabilize its CI/CD pipeline, focusing on build automation and workflow management using Python, C++, and GitHub Actions. Over two months, delivered features such as nightly CI builds, Python wheel integrity checks, and enhanced cache cleanup, all aimed at improving release reliability and developer feedback speed. Addressed dependency alignment and version logging to support compatibility with LLVM 22 and CUDA-Quantum, while refining workflow filtering to reduce unnecessary compute usage. The work emphasized robust scripting, CMake integration, and continuous testing, resulting in a more transparent, maintainable, and efficient development and release process.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
14Total
Bugs
2
Commits
14
Features
5
Lines of code
985
Activity Months2
Your Network
1839 peopleSame Organization
@nvidia.com1821
Work History
June 2026
5 Commits • 3 Features
Jun 1, 2026June 2026 performance highlights for NVIDIA/cudaqx focused on strengthening CI reliability, efficiency, and cross-repo workflows. Delivered high-value features while fixing a critical CI inefficiency, enabling faster feedback for developers and safer wheel deployments across the CUDA-Q ecosystem.
5 Commits • 3 Features
Jun 1, 2026June 2026 performance highlights for NVIDIA/cudaqx focused on strengthening CI reliability, efficiency, and cross-repo workflows. Delivered high-value features while fixing a critical CI inefficiency, enabling faster feedback for developers and safer wheel deployments across the CUDA-Q ecosystem.
June 2026
May 2026
9 Commits • 2 Features
May 1, 2026Summary for 2026-05: Focused on stabilizing and modernizing the CUDA‑QX CI/CD pipeline, improving build transparency, and hardening dependencies to support smoother releases and faster feedback loops. The month delivered robust CI foundations, configurable release-path handling, and clear version logging, enabling safer PRs and accelerated development cycles.
May 2026
9 Commits • 2 Features
May 1, 2026Summary for 2026-05: Focused on stabilizing and modernizing the CUDA‑QX CI/CD pipeline, improving build transparency, and hardening dependencies to support smoother releases and faster feedback loops. The month delivered robust CI foundations, configurable release-path handling, and clear version logging, enabling safer PRs and accelerated development cycles.
Activity
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Quality Metrics
Correctness93.0%
Maintainability87.2%
Architecture85.8%
Performance87.0%
AI Usage22.8%
Skills & Technologies
Programming Languages
BashC++CMakePythonShellYAMLbashjson
Technical Skills
Build AutomationC++ developmentCI/CDCMake scriptingContinuous IntegrationContinuous integrationDevOpsGitHub ActionsPython PackagingPython developmentPython packagingPython programmingScriptingSoftware testingTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline